Senior Platform Leader overseeing compute architecture for autonomous flight systems at aerospace startup. Spearheading initiatives for distributed and high-performance computation in complex environments.
Responsibilities
End-to-end compute architecture spanning cloud ML training, simulation clusters, data pipelines, and edge/onboard systems
Infrastructure that supports large-scale distributed training, high-fidelity simulation (SIL/HIL), and autonomy validation workflows
GPU/accelerator orchestration, workload scheduling, and performance optimization for compute-intensive autonomy systems
Design decisions that balance determinism, latency, safety, scalability, and cost
Platform reliability standards for systems that ultimately support flight-critical software
Long-term roadmap for scaling compute infrastructure as fleet size, simulation fidelity, and ML workloads grow
Technical mentorship and bar-raising across platform and infrastructure engineering
Requirements
10+ years of experience building large-scale distributed or high-performance compute systems
Proven ownership of production infrastructure supporting autonomous systems, robotics, aerospace, or ML-heavy platforms
Deep expertise in distributed systems design, networking, and systems performance optimization
Experience architecting infrastructure for GPU-based training, simulation, or real-time compute workloads
Strong programming background in C++, Go, or Python, with comfort operating close to systems layers
Experience bridging cloud infrastructure and edge/embedded compute environments
Track record of leading complex cross-functional technical initiatives
Ability to operate with autonomy in a fast-scaling, high-ambiguity startup environment
Benefits
catered lunches featuring a rotating menu of delicious options
an assortment of snacks to keep you fueled throughout the day
selection of beverages, including coffee, tea, and other drinks
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